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Discriminant data analysis
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Part 2 book "Biostatistics - A methodology for the health sciences" includes content: Association and prediction - multiple regression analysis and linear models with multiple predictor variables; multiple comparisons; discrimination and classification; principal component analysis and factor analysis; rates and proportions; analysis of the time to an event - survival analysis; sample sizes for observational studies; longitudinal data analysis; randomized clinical trials; personal postscript.
453p
muasambanhan06
03-02-2024
6
1
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In the present study, two chemometric techniques, Artificial Neural Network (ANN) and Partial Least Square-Discrimination Analysis (PLSDA) have been assessed for their efficiencies for classification. Here, UV spectroscopic data are used as input.
6p
viisac
23-09-2023
4
1
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Bài giảng Khai phá dữ liệu (Data mining): Dimensionality reduction and feature selection, chương này trình bày những nội dung về: introduction to dimensionality reduction and feature selection; principal component analysis (PCA); fisher’s linear discriminant analysis (LDA);... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!
81p
diepkhinhchau
18-09-2023
10
5
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Ebook Marketing research: An applied approach – Part 2 presents the following content: Chapter 15 Sampling: final and initial sample size determination; Chapter 16 Survey fieldwork; Chapter 17 Data preparation; Chapter 18 Frequency distribution, cross-tabulation and hypothesis testing; Chapter 19 Analysis of variance and covariance; Chapter 20 Correlation and regression; Chapter 21 Discriminant analysis; Chapter 22 Factor analysis; Chapter 23 Cluster analysis; Chapter 24 Multidimensional scaling and conjoint analysis; Chapter 25 Report preparation and presentation 26 International marketing...
380p
haojiubujain02
03-07-2023
7
4
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The reduction of stigma and discrimination in a population are important indicators of the success of programs that target HIV prevention and control. This study aimed to assess the level of HIV-related stigma and its determinants among sexually active Ethiopians.
11p
viferrari
28-11-2022
11
2
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The objective of the present work was to discriminate Bangladeshi adults of 18 years and above according to their blood pressure level and to identify some factors responsible for discrimination. Accordingly, the analysis was done utilizing the data collected from 960 adults of both urban and rural areas.
11p
viporsche
28-10-2022
2
2
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Ebook Statistical Methods in the Atmospheric Sciences (Second Edition): Part 2 presents the following content: Matrix algebra and random matrices, the multivariate normal (MVN) distribution, principal component (EOF) analysis, canonical correlation analysis (CCA), discrimination and classification, cluster analysis, example data sets, probability tables.
230p
runordie4
05-07-2022
8
3
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This literature gap can limit the application of the most published findings on EO – performance relationships across firms and industries. The aim of this research was to examine how EO manifest in the Nigerian banking sector in relations to bank performance. Purposive sampling was used to collect data from the bank managers, 315 participants were used for the final analysis with the aid of SmartPLS 3.
9p
alucardhellsing
04-05-2022
13
2
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The main objectives of the work were to assess the chemical profiles of Samar and Talh honey produced in the GCC region from Acacia spp. In addition to verifying the authenticity based on the botanical origin and identification of the most effective characteristics influencing the discrimination of both types of honey using Multivariate Data Analysis.
7p
schindler
30-12-2021
10
0
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Accordingly, the models proposed in this paper, including the strategy that was adapted, were successful in presenting good results over the full LDA model. Regarding the indicators that were used to extract and to retain the variables in the model, cumulative variance explained (CVE).
23p
spiritedaway36
28-11-2021
7
1
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Studies that aim at explaining phenotypes or disease susceptibility by genetic or epigenetic variants often rely on clustering methods to stratify individuals or samples. While statistical associations may point at increased risk for certain parts of the population, the ultimate goal is to make precise predictions for each individual.
8p
viseulgi2711
31-08-2021
8
1
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The study was based on, an application of discriminant function analysis of Agroclimatic zone for developing suitable statistical models to forecast wheat yield in Ayodhya district of Eastern Utter Pradesh has been demonstrated. The study utilized the crop yield data and corresponding weekly weather data of last 27 years (1990-91 to 2016-17).
7p
trinhthamhodang11
27-04-2021
14
1
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There are few longitudinal cohort studies examining associations between incident MRI findings and incident spine-related symptom outcomes. Prior studies do not discriminate between the two distinct outcomes of low back pain (LBP) and radicular symptoms.
10p
viannito2711
20-04-2021
4
1
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Gait characterization in golden retriever muscular dystrophy dogs using linear discriminant analysis
Accelerometric analysis of gait abnormalities in golden retriever muscular dystrophy (GRMD) dogs is of limited sensitivity, and produces highly complex data. The use of discriminant analysis may enable simpler and more sensitive evaluation of treatment benefits in this important preclinical model.
9p
vitennessee2711
02-02-2021
5
1
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MetSizeR: Selecting the optimal sample size for metabolomic studies using an analysis based approach
Determining sample sizes for metabolomic experiments is important but due to the complexity of these experiments, there are currently no standard methods for sample size estimation in metabolomics. Since pilot studies are rarely done in metabolomics, currently existing sample size estimation approaches which rely on pilot data can not be applied.
8p
viwyoming2711
16-12-2020
12
0
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An approach to the formation of the voice signal (VS) informative features of the Vietnamese language on the basis of stationary autoregressive model coefficients is described. An original algorithm of VS segmentation based on interval estimation of speech sample numerical characteristics was developed to form local stationarity areas of the voice signal.
11p
vivirginia2711
09-12-2020
23
3
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Selecting a parsimonious set of informative genes to build highly generalized performance classifier is the most important task for the analysis of tumor microarray expression data. Many existing gene pair evaluation methods cannot highlight diverse patterns of gene pairs only used one strategy of vertical comparison and horizontal comparison, while individual-gene-ranking method ignores redundancy and synergy among genes.
16p
vioklahoma2711
19-11-2020
14
2
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RNA-sequencing (RNA-Seq) has become a powerful technology to characterize gene expression profiles because it is more accurate and comprehensive than microarrays. Although statistical methods that have been developed for microarray data can be applied to RNA-Seq data, they are not ideal due to the discrete nature of RNA-Seq data.
10p
vioklahoma2711
19-11-2020
12
1
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Performing statistical tests is an important step in analyzing genome-wide datasets for detecting genomic features differentially expressed between conditions. Each type of statistical test has its own advantages in characterizing certain aspects of differences between population means and often assumes a relatively simple data distribution (e.g., Gaussian, Poisson, negative binomial, etc.), which may not be well met by the datasets of interest.
19p
vioklahoma2711
19-11-2020
12
0
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Discriminating driver mutations from the ones that play no role in cancer is a severe bottleneck in elucidating molecular mechanisms underlying cancer development. Since protein domains are representatives of functional regions within proteins, mutations on them may disturb the protein functionality.
18p
viflorida2711
30-10-2020
9
2
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